org.jliszka.probabilitymonad.Distribution

uniform

object uniform extends Distribution[Double]

Continuous distributions

Linear Supertypes
Distribution[Double], AnyRef, Any
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Value Members

  1. final def !=(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  4. def *(x: Double)(implicit n: Numeric[Double]): Distribution[Double]

    Definition Classes
    Distribution

  5. def *(d: Distribution[Double])(implicit n: Numeric[Double]): Distribution[Double]

    Definition Classes
    Distribution

  6. def +(x: Double)(implicit n: Numeric[Double]): Distribution[Double]

    Definition Classes
    Distribution

  7. def +(d: Distribution[Double])(implicit n: Numeric[Double]): Distribution[Double]

    Definition Classes
    Distribution

  8. def -(x: Double)(implicit n: Numeric[Double]): Distribution[Double]

    Definition Classes
    Distribution

  9. def -(d: Distribution[Double])(implicit n: Numeric[Double]): Distribution[Double]

    Definition Classes
    Distribution

  10. def /(x: Double)(implicit toDouble: <:<[Double, Double]): Distribution[Double]

    Definition Classes
    Distribution

  11. def /(d: Distribution[Double])(implicit toDouble: <:<[Double, Double]): Distribution[Double]

    Definition Classes
    Distribution

  12. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  13. final def ==(arg0: Any): Boolean

    Definition Classes
    Any

  14. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  15. def bucketedHist(min: Double, max: Double, nbuckets: Int, roundDown: Boolean = false)(implicit ord: Ordering[Double], toDouble: <:<[Double, Double]): Unit

    Definition Classes
    Distribution

  16. def bucketedHist(buckets: Int)(implicit ord: Ordering[Double], toDouble: <:<[Double, Double]): Unit

    Definition Classes
    Distribution

  17. def clone(): AnyRef

    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws()

  18. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  19. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  20. def ev(implicit toDouble: <:<[Double, Double]): Double

    Definition Classes
    Distribution

  21. def filter(pred: (Double) ⇒ Boolean): Distribution[Double]

    Definition Classes
    Distribution

  22. def finalize(): Unit

    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws()

  23. def flatMap[B](f: (Double) ⇒ Distribution[B]): Distribution[B]

    Definition Classes
    Distribution

  24. def freeze: Distribution[Double]

    "Freeze" a distribution by taking a sample and serving values out of that sample at random.

    "Freeze" a distribution by taking a sample and serving values out of that sample at random. Useful for when a distribution is expensive to compute and is being sampled from repeatedly.

    Definition Classes
    Distribution

  25. def get: Double

    Definition Classes
    uniform → Distribution

  26. final def getClass(): java.lang.Class[_]

    Definition Classes
    AnyRef → Any

  27. def given(pred: (Double) ⇒ Boolean): Distribution[Double]

    Definition Classes
    Distribution

  28. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  29. def hist(implicit ord: Ordering[Double] = null, d: <:<[Double, Double] = null): Unit

    Definition Classes
    Distribution

  30. def histData: Map[Double, Double]

    Definition Classes
    Distribution

  31. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  32. def kurtosis(implicit toDouble: <:<[Double, Double]): Double

    Definition Classes
    Distribution

  33. def map[B](f: (Double) ⇒ B): Distribution[B]

    Definition Classes
    Distribution

  34. def markov(pred: (Double) ⇒ Boolean)(f: (Double) ⇒ Distribution[Double]): Distribution[Double]

    Definition Classes
    Distribution

  35. final def markov(n: Int)(f: (Double) ⇒ Distribution[Double]): Distribution[Double]

    Markov chains

    Markov chains

    Definition Classes
    Distribution
    Annotations
    @tailrec()

  36. def mean(implicit toDouble: <:<[Double, Double]): Double

    Definition Classes
    Distribution

  37. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  38. final def notify(): Unit

    Definition Classes
    AnyRef

  39. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  40. def posterior[B](experiment: (Double) ⇒ Distribution[B])(observed: (B) ⇒ Boolean): Distribution[Double]

    Using this distribution as a prior, compute the posterior distribution after running an experiment and observing some outcomes and not others.

    Using this distribution as a prior, compute the posterior distribution after running an experiment and observing some outcomes and not others.

    Definition Classes
    Distribution

  41. def pr(pred: (Double) ⇒ Boolean, given: (Double) ⇒ Boolean = (a: A) => true, samples: Int = N): Double

    Definition Classes
    Distribution

  42. def repeat(n: Int): Distribution[List[Double]]

    Definition Classes
    Distribution

  43. def sample(n: Int = N): List[Double]

    Definition Classes
    Distribution

  44. def skewness(implicit toDouble: <:<[Double, Double]): Double

    Definition Classes
    Distribution

  45. def stdev(implicit toDouble: <:<[Double, Double]): Double

    Definition Classes
    Distribution

  46. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef

  47. def toString(): String

    Definition Classes
    Distribution → AnyRef → Any

  48. def until(pred: (List[Double]) ⇒ Boolean): Distribution[List[Double]]

    Definition Classes
    Distribution

  49. def variance(implicit toDouble: <:<[Double, Double]): Double

    Definition Classes
    Distribution

  50. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws()

  51. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws()

  52. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws()

  53. def zip[B](d: Distribution[B]): Distribution[(Double, B)]

    Definition Classes
    Distribution

  54. def zipWith[B, C](d: Distribution[B])(f: (Double, B) ⇒ C): Distribution[C]

    Definition Classes
    Distribution

Inherited from Distribution[Double]

Inherited from AnyRef

Inherited from Any